Halliburton Energy Services, Inc.

Medical University of South Carolina

Other

Michael L Myrick

Robert Paul Freese

David L Perkins

Ryan J Priore

John C Blackburn

William Joseph Soltmann

Jonathan H James

Stephen L Morgan

Leonard Zheleznyak

Zhenyu Lu

Megan Renee Pearl

Terrell K Teague

Raymond Gerard Belliveau, Iii

Stephanie Dejong

Heather Brooke

Katherine Witherspoon

Wayne L O'Brien

Paul G Miney

Brianna Cassidy

Maria V Schiza

Michael Neil Simcock

Olusola O Soyemi

Paul J Gemperline

Briana Marie Cassidy

Karl S Booksh

Matthew P Nelson

Timothy J Shaw

Tammi L Richardson

Laura S Bruckman

Alena Bensussan

Joseph A Swanstrom

Megan Baranowski

Jennifer Martin

Jessica McCutcheon

MacKenzie Meece-Rayle

Luisa Profeta

Luisa T M Profeta

A stain-barrier is described along with methods of its application to a fabric. The stain barrier reduces variability between samples of different dilution or fabric type so that limits of stain detection can be assigned more accurately and precisely and stain detection techniques can be transparently compared.

Reproducible sample preparation method for quantitative stain detection

A stain-barrier is described along with methods of its application to a fabric. The stain barrier can be applied to fabric samples and limits the amount of fabric with which deposited liquid is able to interact. This stain barrier reduces unwanted variability between samples of different dilution or fabric type so that limits of stain detection can be assigned more accurately and precisely and stain detection techniques can be transparently compared.

A method of using photoacoustic spectroscopy to determine chemical information about an analyte includes the steps of emitting a light ray for interaction with a sample of an analyte; transmitting the light ray through a fill fluid disposed in a detection cell, the fill fluid having molecules substantially similar to molecules of the analyte to absorb the light ray; producing a thermal wave and oscillation in the fill fluid proportional to an intensity of the light ray; including a pressure oscillation in the fill fluid by the thermal wave; and detecting the pressure oscillation by a microphone to determine information about the analyte sample.

Thermal selectivity multivariate optical computing

Methods for identifying chemical contrasts on a common surface are generally provided. The presence of a stain on a surface can be detected by applying a testing vapor, such as water, onto the surface and monitoring the surface with an infrared camera that detects wavelengths of about 700 nm to about 1 mm and/or a microbolometer that detects wavelengths of about 7.5 &#x3bc;m to about 14 &#x3bc;m. The surface may be at room temperature or preheated during the detection method.

Methods of detecting latent stains on a surface

The present subject matter relates to methods of high-speed analysis of product samples. Light is directed to a portion of a product under analysis and reflected from or transmitted through the product toward an optical detector. Signals for the detector are compared with reference signals based on a portion of the illuminating light passing through a reference element to determine characteristics of the product under analysis. The products under analysis may be stationary, moved by an inspection point by conveyor or other means, or may be contained within a container, the container including a window portion through which the product illuminating light may pass.

Multi-analyte optical computing system

A method of classifying information in an optical analysis system includes obtaining calibration data defining a plurality of data points, each data point representing values for two or more detectors when sampling a material used to construct a multivariate optical element. Based on the calibration data, one or more validation models can be developed to indicate one or more ranges of expected results. Validation data comprising the models can be used to compare data points representing values for two or more detectors when performing a measurement of a material to determine if the data points fall within an expected range. Classification data can be generated based on the comparison and, in some embodiments, one or more indicators, such as a confidence level in a measurement, can be provided.

Data validation and classification in optical analysis systems

Methods for in situ detection and classification of analyte within a fluid sample are provided. In one embodiment, the method can include: (a) continuously flowing the fluid sample through a multivariate optical computing device, wherein the multivariate optical computing device illuminates an area of the fluid sample as it flows through the multivariate optical computing device to elicit a continuous series of spectral responses; (b) continuously measuring the series of multivariate spectral responses as the fluid sample flows through the multivariate optical computing device; (c) detecting an analyte (e.g., phytoplankton) in the sample based on an multivariate spectral response of the plurality of spectral responses; and (d) classifying the analyte based on the multivariate spectral response generated by the analyte.

Classification using multivariate optical computing

Methods of selecting spectral elements and system components for a multivariate optical analysis system include providing spectral calibration data for a sample of interest; identifying a plurality of combinations of system components; modeling performance of a pilot system with one of the combinations of system components; determining optimal characteristics of the pilot system; and selecting optimal system components from among the combinations of system components.

Selecting spectral elements and components for optical analysis systems

A system and method for analyzing a sample is disclosed. At least a portion of the sample is illuminated with modulated light from a light source, such as an infrared light source. Infrared energy from the sample is monitored with an infrared detector as the sample is being illuminated with the modulated light. The AC response of the infrared energy is analyzed to determine at least one of emission data or reflection data about the sample. The emission data or the reflection data can be used to enhance chemical contrast between varying substances on the sample.

Multi-mode imaging in the thermal infrared for chemical contrast enhancement

The present subject matter relates to an apparatus and related method of high-speed analysis of product samples during production of the product. Light is directed to a portion of a product under analysis and reflected from or transmitted through the product toward optical detectors. Signals from the optical detectors are compared to determine characteristics of the product under analysis. Temperature within the monitoring system may be monitored in order to provide compensation for the signals produced by the optical detectors. The products under analysis may be stationary, moved by an inspection point by conveyor or other means, or may be contained within a container, the container including a window portion through which the product illuminating light may pass.

Signal processing for optical computing system

A method of real-time processing and monitoring comprises the steps of blending a material of interest (e.g., an active pharmaceutical material), with a secondary material, (e.g., an excipient), illuminating the blended materials with light, reflecting light carrying information about the blended materials through at least one multivariate optical element () and detecting said light with a first detector (), detecting a deflected portion of the information carrying light with a second detector (), and determining in real-time at least one selected property of the blended materials based on the detector outputs.

Optical analysis system for dynamic real-time detection and measurement

The present subject matter is direct to methodologies for calibrating data obtained from an optical analysis system. An initial calibration matrix of sampled analyte concentrations is modified using mean-centering techniques and selection of low and high analyte concentration spectra to produce a two-point calibration. A modified calibration matrix is produced by generating a non-linear calibration matrix by multiplying the initial calibration matrix by the two-point calibration. In an alternate embodiment, an initial multivariate optical element design is modified by iteratively adjusting the design based on standard error of calibration determination based on non-linerly fitted functions.

Multivariate optical elements for nonlinear calibration

Disclosed is a system and methodologies for providing self-calibration in an optical analysis system. Illumination light is directed toward a material to be sampled while provisions are made to modify the characteristics of at least a portion of the illumination light falling on a reference detector. The modified characteristics may include light presence and/or spectral characteristics. Light presence may be modified by rotating or moving mirror assemblies to cause light to fall on either a sample detector or a reference detector while spectral characteristics may be modified by placing materials having known spectral characteristics in the path of the illumination light.

Self calibration methods for optical analysis system

A gas sensor uses optical interferents in a porous thin film cell to measure the refractive index of the pore medium. As the medium within the pores changes, spectral variations can be detected. For example, as the pores are filled with a solution, the characteristic peaks exhibit a spectral shift in one direction. Conversely, when tiny amounts of gas are produced, the peaks shift in the opposite direction. This can be used to measure gas evolution, humidity and for applications for other interferometric-based sensing devices.

Thin-layer porous optical sensors for gases and other fluids

Disclosed is apparatus and methodology for producing thermal detectors with spectral responsivities that mimic the absorptions of chemical analytes, and whose detector characteristics approach those of conventional broad-band thermal detectors. In an exemplary arrangement, the methodology provides for modification of a known Si-based thermal detector by adding a near-infrared dye absorbing film above a reflector deposited directly on the thermal detector element. The method is general to all types of thermal detectors that can be divided into separate absorber and thermal sensor components.

Growing community of inventors

Irmo, SC, United States of America

Michael L Myrick